Laura Slaughter

2.1k total citations
59 papers, 1.5k citations indexed

About

Laura Slaughter is a scholar working on Artificial Intelligence, Molecular Biology and General Health Professions. According to data from OpenAlex, Laura Slaughter has authored 59 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 19 papers in Molecular Biology and 9 papers in General Health Professions. Recurrent topics in Laura Slaughter's work include Biomedical Text Mining and Ontologies (18 papers), Semantic Web and Ontologies (8 papers) and Electronic Health Records Systems (6 papers). Laura Slaughter is often cited by papers focused on Biomedical Text Mining and Ontologies (18 papers), Semantic Web and Ontologies (8 papers) and Electronic Health Records Systems (6 papers). Laura Slaughter collaborates with scholars based in United States, Norway and Denmark. Laura Slaughter's co-authors include Carl R. V. Brown, James E. Morris, Albert Starr, Dennis A. Carson, Roxy Peck, Ernest S. Barratt, Fred C. Jensen, Tim Holbrook, J H Vaughan and Alla Keselman and has published in prestigious journals such as Circulation, The Journal of Experimental Medicine and Annals of Internal Medicine.

In The Last Decade

Laura Slaughter

58 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Laura Slaughter United States	20	256	251	214	204	202	59	1.5k
Mary Lynn Young United States	29	178 0.7×	421 1.7×	416 1.9×	168 0.8×	283 1.4×	60	2.3k
Beth Bjerregaard United States	26	97 0.4×	857 3.4×	162 0.8×	403 2.0×	253 1.3×	90	2.6k
Ran Hu China	20	70 0.3×	332 1.3×	188 0.9×	125 0.6×	130 0.6×	107	1.5k
Jennifer Schwartz United States	28	86 0.3×	635 2.5×	262 1.2×	507 2.5×	267 1.3×	89	2.4k
Yi Pan China	21	57 0.2×	204 0.8×	132 0.6×	103 0.5×	330 1.6×	91	2.3k
Alyssa Grimshaw United States	21	60 0.2×	139 0.6×	61 0.3×	150 0.7×	133 0.7×	91	1.8k
Samy A. Azer Saudi Arabia	32	49 0.2×	148 0.6×	285 1.3×	145 0.7×	442 2.2×	91	2.8k
Arash Mostaghimi United States	30	82 0.3×	72 0.3×	161 0.8×	597 2.9×	399 2.0×	262	3.7k
Susan Farrell United States	28	93 0.4×	315 1.3×	197 0.9×	202 1.0×	913 4.5×	97	2.6k
Sachin Jain United States	23	68 0.3×	183 0.7×	73 0.3×	333 1.6×	574 2.8×	119	1.6k

Countries citing papers authored by Laura Slaughter

Since Specialization

Citations

This map shows the geographic impact of Laura Slaughter's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Laura Slaughter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Slaughter more than expected).

Fields of papers citing papers by Laura Slaughter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Slaughter. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Laura Slaughter. The network helps show where Laura Slaughter may publish in the future.

Co-authorship network of co-authors of Laura Slaughter

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Slaughter. A scholar is included among the top collaborators of Laura Slaughter based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Laura Slaughter. Laura Slaughter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Slaughter, Laura, et al.. (2021). Using neural networks to support high-quality evidence mapping. BMC Bioinformatics. 22(S11). 496–496. 4 indexed citations

Vega‐Gorgojo, Guillermo, Laura Slaughter, & Martin Giese. (2019). Seeing the whole picture: integrated pre-surgery reports with PreOptique. Journal of Biomedical Semantics. 10(1). 5–5. 1 indexed citations

Slaughter, Laura, et al.. (2018). Enhancing the Collaborative Interlingual Index for Digital Humanities: Cross-linguistic Analysis in the Domain of Theology. DR-NTU (Nanyang Technological University). 341–346.

Vega‐Gorgojo, Guillermo, Martin Giese, & Laura Slaughter. (2017). Exploring Semantic Datasets with RDF Surveyor.. 3 indexed citations

Vega‐Gorgojo, Guillermo, et al.. (2016). Visual query interfaces for semantic datasets: An evaluation study. Journal of Web Semantics. 39. 81–96. 7 indexed citations

Slaughter, Laura, Mathias Brochhausen, William R. Hogan, & Øystein Nytrø. (2013). The Core Clinical Protocol Ontology (C2PO): A Realist Ontology for Representing the Recommendations within Clinical Guidelines. Studies in health technology and informatics. 192. 997–997. 1 indexed citations

Hellesø, Ragnhild, et al.. (2011). Lay people’s experiences with reading their medical record. Social Science & Medicine. 72(9). 1570–1573. 24 indexed citations

Roque, Francisco S., et al.. (2010). A Comparison of Several Key Information Visualization Systems for Secondary Use of Electronic Health Record Content. North American Chapter of the Association for Computational Linguistics. 76–83. 15 indexed citations

Akbar, Saiful, Laura Slaughter, & Øystein Nytrø. (2010). EXTRACTING MAIN CONTENT-BLOCKS FROM BLOG POSTS. 438–443. 4 indexed citations

10.

Slaughter, Laura, et al.. (2009). Rape: When the Exam Is Normal. Journal of Pediatric and Adolescent Gynecology. 22(1). 7–10. 3 indexed citations

11.

Ruland, Cornelia M., et al.. (2007). Designing tailored Internet support to assist cancer patients in illness management.. PubMed Central. 36 indexed citations

12.

Ruland, Cornelia M., Laura Slaughter, Justin Starren, & Torun M. Vatne. (2006). Children as design partners in the development of a support system for children with cancer.. PubMed. 122. 80–5. 8 indexed citations

13.

Keselman, Alla, Laura Slaughter, & Vimla L. Patel. (2005). Toward a framework for understanding lay public’s comprehension of disaster and bioterrorism information. Journal of Biomedical Informatics. 38(4). 331–344. 46 indexed citations

14.

Slaughter, Laura, Alla Keselman, André Kushniruk, & Vimla L. Patel. (2005). A framework for capturing the interactions between laypersons’ understanding of disease, information gathering behaviors, and actions taken during an epidemic. Journal of Biomedical Informatics. 38(4). 298–313. 33 indexed citations

15.

Slaughter, Laura, Dagobert Soergel, & Thomas C. Rindflesch. (2005). Semantic representation of consumer questions and physician answers. International Journal of Medical Informatics. 75(7). 513–529. 23 indexed citations

16.

Slaughter, Laura, et al.. (2005). Mapping cancer patients' symptoms to UMLS concepts.. PubMed. 699–703. 12 indexed citations

17.

Slaughter, Laura, et al.. (1997). Questionnaire Administration Via the WWW: A Validation & Reliability Study for a User Satisfaction Questionnaire.. WebNet. 46 indexed citations

18.

Slaughter, Laura & Carl R. V. Brown. (1992). Colposcopy to establish physical findings in rape victims. American Journal of Obstetrics and Gynecology. 166(1). 83–86. 87 indexed citations

19.

Slaughter, Laura & Carl R. V. Brown. (1991). Cervical findings in rape victims. American Journal of Obstetrics and Gynecology. 164(2). 528–529. 21 indexed citations

20.

Slaughter, Laura, Dennis A. Carson, Fred C. Jensen, Tim Holbrook, & J H Vaughan. (1978). In vitro effects of Epstein-Barr virus on peripheral blood mononuclear cells from patients with rheumatoid arthritis and normal subjects.. The Journal of Experimental Medicine. 148(5). 1429–1434. 203 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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